Strategy Compare

Community

marketcalls

strategy-compare

Compare multiple strategies or directions (long vs short vs both) on the same symbol. Generates side-by-side stats table.

Overview

Publisher	marketcalls
Repository	`vectorbt-backtesting-skills`
Skill name	`strategy-compare`
Stars	210
Forks	47
Bundled files	Instructions only
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by marketcalls on GitHub. Read the source before you install it.

Installation

Install the Strategy Compare AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/marketcalls/vectorbt-backtesting-skills/tree/master/.claude/skills/strategy-compare
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/marketcalls/vectorbt-backtesting-skills/tree/master/.claude/skills/strategy-compare

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/marketcalls/vectorbt-backtesting-skills.git /tmp/vectorbt-backtesting-skills
mkdir -p .claude/skills
cp -r /tmp/vectorbt-backtesting-skills/.claude/skills/strategy-compare .claude/skills/strategy-compare

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Strategy Compare in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Strategy Compare on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Strategy Compare is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Create a strategy comparison script.

Arguments

Parse $ARGUMENTS as: symbol followed by strategy names

$0 = symbol (e.g., SBIN, RELIANCE, NIFTY)
Remaining args = strategies to compare (e.g., ema-crossover rsi donchian)

If only a symbol is given with no strategies, compare: ema-crossover, rsi, donchian, supertrend. If "long-vs-short" is one of the strategies, compare longonly vs shortonly vs both for the first real strategy.

Instructions

Read the vectorbt-expert skill rules for reference patterns
Create backtesting/strategy_comparison/ directory if it doesn't exist (on-demand)
Create a .py file in backtesting/strategy_comparison/ named {symbol}_strategy_comparison.py
The script must:
- Fetch data once via OpenAlgo
- If user provides a DuckDB path, load data directly via duckdb.connect(path, read_only=True). See vectorbt-expert rules/duckdb-data.md.
- If openalgo.ta is not importable (standalone DuckDB), use inline exrem() fallback.
- Use OpenAlgo ta for ALL indicators by default (never VectorBT built-in). Only switch to TA-Lib if the user explicitly says "talib"/"TA-Lib"
- Always use OpenAlgo ta for specialty indicators (Supertrend, Donchian, etc.) - no TA-Lib equivalent exists
- Clean signals with ta.exrem() (always .fillna(False) before exrem)
- Run each strategy on the same data
- Indian delivery fees: fees=0.00111, fixed_fees=20 for delivery equity
- Collect key metrics from each into a side-by-side DataFrame
- Include NIFTY benchmark in the comparison table (via OpenAlgo NSE_INDEX)
- Print Strategy vs Benchmark comparison table: Total Return, Sharpe, Sortino, Max DD, Win Rate, Trades, Profit Factor
- Explain results in plain language - which strategy performed best and why
- Plot overlaid equity curves for all strategies using Plotly (template="plotly_dark")
- Save comparison to CSV
Never use icons/emojis in code or logger output

Example Usage

/strategy-compare RELIANCE ema-crossover rsi donchian /strategy-compare SBIN long-vs-short ema-crossover

Frequently asked questions

What does the Strategy Compare AI skill do?

Compare multiple strategies or directions (long vs short vs both) on the same symbol. Generates side-by-side stats table.

Why use Strategy Compare on TypingMind?

Because you install it once and use it with any model. Strategy Compare is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Strategy Compare in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/marketcalls/vectorbt-backtesting-skills/tree/master/.claude/skills/strategy-compare. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Strategy Compare?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Strategy Compare?

As many as you like. As long as a model supports skills, you can use Strategy Compare with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Strategy Compare AI skill free?

It is published on GitHub by marketcalls. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Arguments

Instructions

Example Usage

Frequently asked questions

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